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  • 學位論文

具資料品質框架雲端醫療資訊系統之驗證

Verifications of a cloud medical information system with data quality framework

指導教授 : 戚玉樑

摘要


醫療資訊系統可以提升醫護人員效率,降低醫護人員工作負荷,同時雲端運算這幾年的興起與普及,為資訊科技帶來不小的變革,當資訊系統導入雲之後,能夠因雲而獲得諸多優點,然而醫療產業在發展資訊科技時比較一般企業相對封閉和保守以及資訊化的程度較為複雜,因此整合雲端運算的醫療資訊系統相較於一般企業更為謹慎和緩慢。其次,架構於雲端的醫療資訊系統同樣面臨許多傳統模式下的問題。本研究根據資料品質框架構面的資料隱私性、準確性、完整性及可用性構面,驗證加強構面架構的雲端醫療資訊系統,可提供醫療機構一個具有資料品質的醫療資訊系統服務。研究結果顯示,透過資料庫加密之後,可區分使用者身分權限於讀取病歷資料時採用遮罩或模糊化顯示,加密資料庫可提高資料遭竊取時的安全性,間接降低病歷及個資的外洩,加強病人隱私性。以資料比對方式驗證資料在經過相關醫護人員輸入之後,透過比對資料是否符合正常人標準的邏輯,來確保輸入的資料是比較正確的,同時設定排程和告警機制於資料檢查發生異常時,通知相關醫護人員修改和維護資料,以提高病人資料準確性。建構資料庫同步來驗證資料的完整性及隨時提供服務的可用性並對系統負載測試,研究結果顯示系統可提供每秒200筆以上資料交易量具備大多數中小型醫療機構使用。驗證醫療系統於多人連線使用情況下的系統服務品質,結果顯示在使用需求到達一定數量時有部分連線使用的品質會較差,此時可根據雲端業者提供的服務進行系統擴展。本研究以OpenMRS醫療資訊系統為例,結合國網雲平台,建構於雲端的系統佈署及構面驗證方式可提供醫療機構評估系統入雲的參考。

並列摘要


Medical Information System is able to improve the efficiency of health care professionals and reduces the work load, because Cloud Computing is becoming popular and being used widely in different industries, which brings huge transformation for information technology in recent years. There are many advantages after deploy Medical Information System into Cloud Computing. However, due to the conservativeness of health industry and its complex information, the integration of Medical Information System is usually slower and cautiously compare with other industries. Secondly, the structure of Medical Information System base on Cloud Computing is facing many problems under traditional modes. This research is base on the data privacy, accuracy, completeness and availability of data quality framework, verify and strengthen Medical Information System structure of Cloud Computing, therefore Medical Information System can provide data with good quality to health industry. The research shows that after the database encryption, it can identify and distinguish the source of authority while reading the case history, and apply mask or fuzzy display, and increase the security level when the database is being hacked, to lower the possibility of case history leak, to reinforce patient privacy. After the health care professionals input different data, the system will compare them and calculate if they are logical or not under a usual standard, to ensure the input data are accurate, meanwhile scheduled system check and warning alert can notify health care professionals to modify and maintain the data, to improve data accuracy. Building database synchronization is to verify the integrity and capability and to test system load level. The research shows that the system can provide over than 200 transactions per second and is capable for small and medium scale medical units to use. Verify the system service quality while the medical system under multiple connection usage, the results show that parts of the connections have poor quality when the demand is high, and the system can be expanded by the service provided by Cloud Computing supplier. The research uses OpenMRS Medical Information System as an example, to integrate it with NCHC cloud platform, the construction of the systems deployed in the cloud and the facet authentication can provide references for medical institutions to evaluate adding system into Cloud Computing.

參考文獻


蔡宗宏、楊朝堂(2006)。員工工作環境知覺對醫療資訊系統三種品質與使用者滿意影響之研究-以某醫學中心為例。健康管理學刊,4(2), 137-153。
楊漢湶、劉立、郭燕婷(2013)。醫療與雲端之七-雲端智慧醫療應用。醫院雙月刊,46(5), 1-7。
Sultan, N. (2014). Making use of cloud computing for healthcare provision: Opportunities and challenges. International Journal of Information Management, 34(2), 177-184.
Fiona Fuihoon Nah. (2004). A study on tolerable waiting time: how long are Web users willing to wait?. from http://sighci.org/uploads/published_papers/bit04/BIT_Nah.pdf/
Kuo, A. (2011). Opportunities and Challenges of Cloud Computing to Improve Health Care Services. Journal of Medical Internet Research. from http://www.ncbi.nlm.nih.gov/pmc/articles/pmc3222190/

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